Search Results for "simulated annealing" - Page 2

Project aims at developing KNIME nodes, which provide tools for solving optimization problems, like TSP and function optimization. Two metaheuristic are available: Tabu Search and Simulated Annealing. Now we are working on: Evolutionary Algorithm.

This e-book is devoted to global optimization algorithms, which are methods to find optimal solutions for given problems. It focuses on Evolutionary Computation but also discusses other apporaches like Simulated Annealing and Extremal Optimization.

A solution of the Traveling Salesman Problem using the Simulated annealing.

heuristics is an adaptive heuristic algorithms library written in C++. It features implementations for the Taboo-Search, Genetic-Search, and Simulated Annealing.

Hotstop is scientific software that allows to extract experimental ion stopping force curves from RBS spectra (as well as to stimate uncertainities) It uses Simulated Annealing and Bayesian Inference algorithms.

Simulated annealing package written in Java using simplex downhill algorithm from Numerical Recipies in C++/FORTRAN/C It is intended for use "behind the scenes" in applications, and it is optimised for ease of integration. Completely standalone,

The OptControlCentre (OCC) is an user-friendly software package for the optimization of dynamic systems in energy and chemical engineering. Optimization methods include SQP methods as well as a stochastic approach using Simulated Annealing.

A multi threading simulated annealing which can be used to solve any optimization problem running in parallel in all machine cores. Optimization problem definition is open and explained through examples. It is implemented in C and only requires libpthread for running.

This projects implements various optimization heuristics and meta-heuristics (such as local search, VND, GRASP, Simulated Annealing, and more still to come) finding solutions on the post enrolment course timetabling problem.

PyOptFrame-LEGACY is a Python version of OptFrame v2, proposed in 2011, now superseeded in 2021 by v5 on GitHub and PIP. The main objective is to provide the same interface to OptFrame C++ optimization framework, including classic metaheuristics such as genetic algorithms, simulated annealing, variable neighborhood search, first/best/multi-improvement, hill climbing, and multi-objective methods such as nsga-ii. See NEWEST version v5 on GitHub and PIP. Please try Official pyoptframe on https://pypi.org/project/optframe/ for OptFrame v5 (last updated 2022).